Growth & Strategy

Zoom Has a 'SWAT Team' for ChatGPT Visibility. That Should Tell Every Brand Leader Where This Is Headed.

May 3, 2026

Zoom's CMO assembled a cross-functional war room to control how AI describes the company. The data behind that decision applies to every brand reading this.

Zoom Has a 'SWAT Team' for ChatGPT Visibility. That Should Tell Every Brand Leader Where This Is Headed.
Image Credit: State of Brand

We have been writing about AI search visibility and LinkedIn's role as a citation source for months now. This week, the Wall Street Journal's Megan Graham published a piece that crystallized the whole thing into a single case study worth unpacking.

Zoom CMO Kimberly Storin told the WSJ that the company has stood up a dedicated cross-functional "SWAT team" focused entirely on how Zoom shows up inside large language models like ChatGPT and Google Gemini. Not Google search. Not paid media. How Zoom appears when a buyer asks an AI what software to use.

This is a company with 99% brand awareness. They do not have a recognition problem. What they have, in Storin's words, is a perception challenge. Video is commoditized. Zoom has expanded into contact centers, phone systems, webinars, and recruiting tools. And the question that keeps her team up at night is whether AI is accurately representing the full breadth of what Zoom does, or just defaulting to "the video call company."

That question should sound familiar to every brand leader reading this. Because it is not a Zoom problem. It is the central brand challenge of 2026.

The Buyer Journey Moved and Most Brands Have Not Caught Up

We keep seeing the same disconnect in our conversations with marketing leaders. Their executive teams still think "search" means Google rankings. Meanwhile, their buyers have quietly shifted the front door.

G2's latest research, published in April 2026 and based on a survey of more than 1,000 B2B software buyers, found that 51% now start their research with an AI chatbot more often than with Google. That number was 29% when G2 published its 2025 Buyer Behavior Report. It nearly doubled in less than a year. Seventy-one percent rely on AI chatbots at some point during their buying process.

Gartner predicted that traditional search engine volume would drop 25% by 2026 as AI chatbots absorbed queries that once flowed through Google. That prediction, made in early 2024, appears to be tracking. ChatGPT alone now fields queries from over 900 million weekly users, according to data compiled by Backlinko.

Storin described the shift in her WSJ interview with clarity that should land with any B2B marketer: buyers now spend roughly 80% of their journey researching independently, talking to ChatGPT, asking friends, reading reviews, before a salesperson ever gets a meeting. The goal is simply to make the shortlist.

If AI is not naming you in that research phase, you are not on the shortlist. Full stop.

AEO Is Not SEO With a New Name. Storin Said It Herself.

There is a growing pile of acronyms for what Zoom is doing. Answer engine optimization. Generative engine optimization. LLM optimization. AI visibility optimization. The terminology has not settled and frankly we do not think it matters much. What matters is that the underlying mechanics are fundamentally different from traditional search.

An Ahrefs study found that only 12% of AI citations overlap with Google's traditional top 10 search results. What earns you a featured snippet on Google and what earns you a citation from ChatGPT are different inputs, different signals, and different outcomes.

Storin was direct about this: her SEO team, however expert, does not automatically understand what AEO and GEO require. The skillsets are interconnected, she said, but the challenge is much bigger. That is why she built a cross-functional squad pulling from SEO, content, web, data, and brand and media, running weekly standups and treating it like an agile marketing program rather than a campaign.

We have been writing about this organizational challenge for weeks now. The companies that bolt AI visibility onto their existing SEO team and call it handled are going to lose to the ones that treat it as its own discipline. Zoom figured that out fast. Most companies have not.

LinkedIn Is Now the Number One Cited Source for Professional AI Queries. That Changes Executive Comms Entirely.

One of the more revealing moments in Storin's interview was her reference to a report showing LinkedIn as the top platform being cited by LLMs. She said it changes the whole strategy, because it is not brands getting picked up. It is executives.

The data behind that claim is now substantial. Research from Profound found that between November 2025 and February 2026, LinkedIn surged from outside the top 20 to become the number one cited domain for professional queries across ChatGPT, Gemini, Google AI Overviews, Microsoft Copilot, and Perplexity. A complementary study by Semrush, analyzing 325,000 unique prompts and 89,000 LinkedIn URLs, ranked LinkedIn as the second most cited domain overall, appearing in roughly 11% of AI responses on average.

Here is the part that matters most for brand teams: it is not company pages getting picked up. It is individual executives' posts and long-form articles. Semrush found that LinkedIn articles and posts together accounted for approximately 35% of all LinkedIn citations within ChatGPT responses, up from 27% at the start of the study period. And AI responses showed high semantic similarity to the original LinkedIn content, meaning the language your executives use on the platform directly shapes how AI describes your company.

We covered this shift in detail a couple weeks ago. The takeaway has not changed: if your leadership team is not active on LinkedIn, they are ceding the narrative to whoever is. AI does not care about your brand guidelines. It cares about what it can find, and right now it is finding your competitors' executives talking while yours stay silent.

Reddit and Substack also figure prominently. Peec AI's analysis of 30 million citations ranked Reddit as the single most cited domain across ChatGPT, Google AI Mode, Gemini, Perplexity, and AI Overviews combined. The authentic, unfiltered conversations happening on these platforms are not just influencing human buyers. They are training the models those buyers consult first.

Press Releases Are Back. That Was Not on Anyone's Bingo Card.

Perhaps the most counterintuitive admission in Storin's interview was about press releases. After years of marketing teams deprioritizing them, Zoom has reversed course. Not just issuing more releases, but designing them specifically for LLM pickup.

Storin described the whiplash to Graham honestly: her team had been telling people to issue fewer press releases. Now they are telling them not only do we need press releases, but they need to be built for a completely different purpose. The structure, language, and information architecture matter in ways they have not for years, because AI retrieval systems parse them as structured, attributable content.

This tracks with the broader data. G2's research found that when buyers were asked what would most increase their confidence in an AI chatbot's recommendation, the top answer was a citation from a software review site. LLMs are pulling from structured, third-party sources that carry implicit trust signals. Press releases, reviews on G2 and Capterra, and coverage in respected publications all fall into that category.

For the earned media and PR teams that have spent years justifying their existence to performance-obsessed leadership, this is a vindication moment. The work they do now feeds two audiences: the humans who read it and the AI systems that cite it.

Nobody Has This Figured Out. That Is the Point.

Storin was refreshingly honest: "Nobody can be on top of it," she told the WSJ. "People are surprised when I say that we don't have it all figured out."

The data from G2 backs this up. Nearly every marketer they spoke with described AI discoverability as a pipeline "must-have," then admitted they were still early-stage or figuring out their approach. For many, the wake-up call came from a painfully simple exercise: typing a buyer query into ChatGPT and watching a competitor's name appear instead of their own.

The measurement infrastructure is still nascent. A growing ecosystem of tools, from HubSpot's AEO product to platforms like Profound and Peec AI, is emerging to track brand visibility scores, share of voice, sentiment, and citation frequency across AI platforms. But compared to the mature analytics stack marketers have built around traditional search, LLM measurement is in its early innings.

That is actually the opportunity. Only 22% of marketers are tracking AI visibility at all right now. The window to get out front is still wide open.

What This Means for Brand Strategy

We keep coming back to a few principles that the Zoom story reinforces.

Brand narrative consistency is now brand visibility. LLMs synthesize across sources. If your messaging is fragmented, saying one thing on your website, another on G2, another in press releases, the AI will reflect that incoherence back to buyers. Storin's emphasis on making sure Zoom shows up correctly not just for video but for its contact center, phone, and webinar products underscores this. In an AI-mediated world, brand architecture and brand visibility are the same thing.

Executive voice is a distribution channel, not a vanity project. The data on LinkedIn citations makes this unavoidable. C-suite and senior leaders who publish consistently are not just building personal brands. They are shaping how AI represents their companies to the buyers who now start their research in a chat window.

Authenticity compounds. Storin described it as the quality that gets pulled through in AI responses. The genuine, human content on Reddit, LinkedIn, and Substack that LLMs weight as credible. Manufactured thought leadership and keyword-stuffed blog posts will not cut it when the judge is a language model looking for coherent, trustworthy information.

Cross-functional is non-negotiable. Zoom's instinct to staff this as a SWAT team rather than assign it to a single function reflects the reality that AI visibility touches content strategy, web architecture, data, PR, executive communications, and product marketing simultaneously. No one team owns it because no one team can own it.

The Culture Shift Is the Harder Part

Storin closed her WSJ interview with a line that deserves to be the takeaway for every CMO reading this: "It's more of a culture shift than it is an expertise shift at this point."

We agree. The companies that will win the AI visibility race are not necessarily the ones with the biggest budgets or the most sophisticated martech stacks. They are the ones that build organizational curiosity, agility, and willingness to take calculated risks into their operating rhythm.

Zoom has 99% brand awareness and still felt the need to build a dedicated team for this. If that does not signal urgency for the rest of us, nothing will.

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